Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
4,604
result(s) for
"Identity theft Prevention."
Sort by:
Protecting Your Internet Identity
People research everything online – shopping, school, jobs, travel – and other people. Your online persona is your new front door. It is likely the first thing that new friends and colleagues learn about you. In the years since this book was first published, the Internet profile and reputation have grown more important in the vital human activities of work, school and relationships. This updated edition explores the various ways that people may use your Internet identity, including the ways bad guys can bully, stalk or steal from you aided by the information they find about you online. The authors look into the Edward Snowden revelations and the government's voracious appetite for personal data. A new chapter on the right to be forgotten explores the origins and current effects of this new legal concept, and shows how the new right could affect us all. Timely information helping to protect your children on the Internet and guarding your business's online reputation has also been added.
The state of Internet anonymity has been exposed to scrutiny lately, and the authors explore how anonymous you can really choose to be when conducting activity on the web. The growth of social networks is also addressed as a way to project your best image and to protect yourself from embarrassing statements. Building on the first book, this new edition has everything you need to know to protect yourself, your family, and your reputation online.
eBook
Identity Theft in Today’s World
This book accurately identifies the various forms of identity theft in simple, easy-to-understand terms, exposes exaggerated and erroneous information, and explains how everyone can take action to protect themselves. Identity theft is a classic crime with a modern (and perhaps decidedly American) twist. The rise of technology over the past few decades—and its influence on the processes of modernization and globalization—has created many new opportunities for identity theft both locally and internationally. Moreover, this process has transformed the nature of identity from something largely personal to something almost purely financial. Although identity theft is not a global crime per se, it does pose a pervasive and universal threat that will need to be acknowledged and addressed by many nations throughout the world. In this text, author Megan McNally examines the concept of identity theft in universal terms in order to understand what it is, how it is accomplished, and what the nations of the world can do—individually or collectively—to prevent it or respond to it.
eBook
Preventing identity theft in your business
Preventing Identity Theft in Your Business is a reliable guide to help protect companies, their customers, and their employees from the growing problem of identity theft. Real-life examples show managers and executives how to identify business, customer, and employee identity theft, how these crimes are committed, how best to prevent them, and overall, develop an honest company culture. It also covers how to manage this threat in business reorganizations such as mergers, acquisitions, globalization, and outsourcing.
eBook
Security enhanced multi-factor biometric authentication scheme using bio-hash function
With the rapid development of personal information and wireless communication technology, user authentication schemes have been crucial to ensure that wireless communications are secure. As such, various authentication schemes with multi-factor authentication have been proposed to improve the security of electronic communications. Multi-factor authentication involves the use of passwords, smart cards, and various biometrics to provide users with the utmost privacy and data protection. Cao and Ge analyzed various authentication schemes and found that Younghwa An's scheme was susceptible to a replay attack where an adversary masquerades as a legal server and a user masquerading attack where user anonymity is not provided, allowing an adversary to execute a password change process by intercepting the user's ID during login. Cao and Ge improved upon Younghwa An's scheme, but various security problems remained. This study demonstrates that Cao and Ge's scheme is susceptible to a biometric recognition error, slow wrong password detection, off-line password attack, user impersonation attack, ID guessing attack, a DoS attack, and that their scheme cannot provide session key agreement. Then, to address all weaknesses identified in Cao and Ge's scheme, this study proposes a security enhanced multi-factor biometric authentication scheme and provides a security analysis and formal analysis using Burrows-Abadi-Needham logic. Finally, the efficiency analysis reveals that the proposed scheme can protect against several possible types of attacks with only a slightly high computational cost.
Journal Article
Identity Theft in the Academic World Leads to Junk Science
In recent years, identity theft has been growing in the academic world. Cybercriminals create fake profiles for prominent scientists in attempts to manipulate the review and publishing process. Without permission, some fraudulent journals use the names of standout researchers on their editorial boards in the effort to look legitimate. This opinion piece, highlights some of the usual types of identity theft and their role in spreading junk science. Some general guidelines that editors and researchers can use against such attacks are presented.
Journal Article
Online Handwritten Signature Verification Using Neural Network Classifier Based on Principal Component Analysis
One of the main difficulties in designing online signature verification (OSV) system is to find the most distinctive features with high discriminating capabilities for the verification, particularly, with regard to the high variability which is inherent in genuine handwritten signatures, coupled with the possibility of skilled forgeries having close resemblance to the original counterparts. In this paper, we proposed a systematic approach to online signature verification through the use of multilayer perceptron (MLP) on a subset of principal component analysis (PCA) features. The proposed approach illustrates a feature selection technique on the usually discarded information from PCA computation, which can be significant in attaining reduced error rates. The experiment is performed using 4000 signature samples from SIGMA database, which yielded a false acceptance rate (FAR) of 7.4% and a false rejection rate (FRR) of 6.4%.
Journal Article
